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Enhanced Distributed Energy-Efficient Clustering (DEEC) Protocol for Wireless Sensor Networks: A Modular

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This summary is machine-generated.

This study introduces an improved Enhanced Distributed Energy-Efficient Clustering (DEEC) protocol for Wireless Sensor Networks (WSNs). The enhanced DEEC protocol significantly extends network lifespan and improves energy efficiency in dynamic environments.

Keywords:
base stationdistributed energy-efficient clusteringenergysensor nodeswireless sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Engineering

Background:

  • Wireless Sensor Networks (WSNs) are crucial for applications like environmental monitoring and the Internet of Things (IoT).
  • Energy efficiency is a major challenge in WSNs due to the limited battery power of sensor nodes.
  • The Enhanced Distributed Energy-Efficient Clustering (DEEC) protocol is widely used but struggles in dynamic environments.

Purpose of the Study:

  • To present a novel, modular implementation of the DEEC protocol for Wireless Sensor Networks.
  • To address the limitations of the standard DEEC protocol in dynamic and heterogeneous environments.
  • To enhance energy efficiency and network lifespan in WSNs.

Main Methods:

  • Developed a modular implementation of the DEEC protocol.
  • Incorporated realistic energy models and supported heterogeneous nodes.
  • Implemented load balancing and dynamic cluster head selection.
  • Conducted numerical simulations using MATLAB®.

Main Results:

  • The improved DEEC protocol achieved a 133% longer stability period (1166 vs. 472 rounds).
  • Network lifetime was nearly doubled (4000 vs. 2111 rounds).
  • Significantly enhanced overall energy efficiency compared to the standard DEEC.

Conclusions:

  • The proposed DEEC enhancements provide a robust solution for modern WSN and IoT applications.
  • The protocol effectively overcomes the limitations of standard DEEC in dynamic and heterogeneous settings.
  • Demonstrated significant improvements in network stability, lifetime, and energy efficiency.